Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Kunpeng Yuan"'
Autor:
Alejandro Rodriguez, Changpeng Lin, Chen Shen, Kunpeng Yuan, Mohammed Al-Fahdi, Xiaoliang Zhang, Hongbin Zhang, Ming Hu
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-11 (2023)
Abstract Although first principles based anharmonic lattice dynamics is one of the most common methods to obtain phonon properties, such method is impractical for high-throughput search of target thermal materials. We develop an elemental spatial den
Externí odkaz:
https://doaj.org/article/86f2f4d88bcb4fe48d4a3404b47e1723
Publikováno v:
Journal of Materials Research and Technology, Vol 24, Iss , Pp 5337-5346 (2023)
Zinc oxide (ZnO) is a wide band-gap semiconductor material with versatile applications in high-tech fields. Under high pressure, ZnO exhibits multiple phase transitions, which are of great significance for the development of photocatalysts, micro-dev
Externí odkaz:
https://doaj.org/article/98c00475902e4189981b552172f9e86a
Autor:
Zheng Chang, Jing Ma, Kunpeng Yuan, Jiongzhi Zheng, Bin Wei, Mohammed Al-Fahdi, Yufei Gao, Xiaoliang Zhang, Hezhu Shao, Ming Hu, Dawei Tang
Publikováno v:
Frontiers in Mechanical Engineering, Vol 8 (2022)
The Mg3Sb2−xBix family has emerged as the potential candidates for thermoelectric applications due to their ultra-low lattice thermal conductivity (κL) at room temperature (RT) and structural complexity. Here, using ab initio calculations of the e
Externí odkaz:
https://doaj.org/article/ad4fb39af6d044ae90cd78def699e27b
Autor:
Kunpeng Yuan, Dongdong Wang, Qingdong Luan, Ju Sun, Qianwen Gao, Zhiyao Jiang, Shouchun Wang, Yijun Han, Xueting Qu, Yueying Cui, Shimei Qiu, Youxia Di, Xiaoyi Wang, Shige Song, Peiheng Wang, Shilong Xia, Yongle Yu, Weiquan Liu, Yanbo Yin
Publikováno v:
Viruses, Vol 12, Iss 3, p 334 (2020)
Ostrich diseases characterized by paralysis have been breaking out in broad areas of China since 2015, causing major damage to the ostrich breeding industry in China. This report describes a parvovirus detected in ostriches from four different region
Externí odkaz:
https://doaj.org/article/a6f25306a0f340009ba6723a0951de3e
Publikováno v:
Journal of Materials Science & Technology. 142:89-97
Publikováno v:
ACS Applied Energy Materials. 5:10690-10701
Publikováno v:
ACS Applied Energy Materials. 5:8781-8790
Publikováno v:
Journal of Forecasting. 41:1386-1415
Autor:
Pengfei Qi, Ke Liu, Shipeng Bi, Zheng Chang, Kunpeng Yuan, Yufei Gao, Xiaoliang Zhang, Yuhang Jing, Dawei Tang
Publikováno v:
ACS Applied Energy Materials. 5:6363-6372
Publikováno v:
Journal of Materials Chemistry C. 10:15822-15832
A first principles-based machine learning potential is developed to model the phonon transport properties in full Heusler CsK2Sb and CsK2Bi taking account of all higher-order phonon interactions.